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Automation
Command

/ingest-pipeline

Aggregates CRM/MAP data, cleans records, and prepares forecast-ready pipeline views.

From plugin
gtm-agents
368199 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/ingest-pipeline

Context preview

What this command does when you run it.

Aggregates CRM/MAP data, cleans records, and prepares forecast-ready pipeline views.

Command definition

ingest-pipeline.md
name: ingest-pipeline
description: Aggregates CRM/MAP data, cleans records, and prepares forecast-ready pipeline views.
usage: /revenue-forecasting-pipeline:ingest-pipeline --timeframe "Q1" --segments "enterprise,mm" --detail full

Command: ingest-pipeline

Inputs

  • **timeframe** – forecast period (Q1, Q2, FY, rolling-90).
  • **segments** – comma-separated list of segments or regions.
  • **detail** – summary | full output verbosity.
  • **filters** – optional stage, product, or owner filters.
  • **refresh** – optional flag to force data refresh vs cached snapshot.

Workflow

1. **Data Extraction** – pull CRM opportunities, bookings actuals, MAP signals, and enrichment fields by timeframe. 2. **Normalization & QA** – dedupe, enforce stage definitions, check close dates, align currencies, and flag missing data. 3. **Scoring & Cohorting** – compute coverage, velocity, win rate assumptions, and stage-based risk scores. 4. **Segmentation** – split pipeline by segment, region, product, partner, and channel. 5. **Packaging** – output structured tables + dashboards for forecast architect + finance partner review.

Outputs

  • Pipeline dataset (CSV/Sheets) with commit/upside/sandbag buckets.
  • Data quality log detailing issues resolved or pending.
  • Snapshot summary (coverage %, attainment, risk flags) per segment.

Agent/Skill Invocations

  • `revops-analyst` – runs extraction + QA steps.
  • `forecast-modeling` skill – provides scoring templates and coverage math.
  • `variance-analysis` skill – tags known risk cohorts for later tracking.

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